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ICANN
2001
Springer
15 years 10 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 6 months ago
Bayesian Optimisation Algorithm for Nurse Scheduling
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
Jingpeng Li, Uwe Aickelin
JMLR
2010
139views more  JMLR 2010»
15 years 29 days ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
BMCBI
2006
159views more  BMCBI 2006»
15 years 6 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
ICC
2007
IEEE
193views Communications» more  ICC 2007»
16 years 14 days ago
A Semantic Context Model for Location-Based Cooperative Mobile Computing
—This paper addresses context issues in pervasive mobile computing and presents a semantic context model to support location based cooperative mobile applications. In this paper,...
Bin Hu, Philip Moore, Hsiai-Hwa Chen